Gengsheng Qin

Gengsheng (Jeff) Qin

Professor of Statistics

Contact Information:

Department of Mathematics and Statistics

25 Park Place

Georgia State University

Atlanta, Georgia 30303-3083, USA

Email: gqin@gsu.edu

Research Interests

Appointments

08/2013- present Professor, Department of Mathematics and Statistics, Georgia State University, USA

08/2007- 08/2013 Associate Professor, Department of Mathematics and Statistics, Georgia State University, USA

08/2001-08/2007 Assistant Professor, Department of Mathematics and Statistics, Georgia State University, USA

11/1994-12/1996 Associate Professor (with tenure), Department of Mathematics, Sichuan University, Chengdu, China

09/1992-11/1994 Assistant Professor, Department of Mathematics, Sichuan University, Chengdu, China

07/1983-09/1989 Lecturer, Department of Mathematics, Sichuan University, Chengdu, China

Recent Publications (See CV for Full List)

Hai, Y., Shi, S., Qin, G.S. (2023). Bayesian and influence function-based empirical likelihoods for inference of sensitivity to the early diseased stage in diagnostic tests. Biometrical Journal. 65(3):e2200021. doi: 10.1002/bimj.202200021.

Huang, Z., Qin, G.S. (2022). Influence function‑based confidence intervals for the Kendall rank correlation coefficient. Computational Statistics. https://doi.org/10.1007/s00180-022-01267-8

Ghimire, H., Viennois, E., Hu, X. J., Qin, G.S., Merlin, D., and Perera, A. G. U. (2022). Infrared spectrometric biomarkers for ulcerative colitis screening using human serum samples. Journal of Biophotonics. 15(6):e202100307. doi: 10.1002/jbio.202100307

Su, Q., Qin, Z., Peng, L., Qin, G.S. (2021). Efficiently backtesting conditional value-at-risk and conditional expected shortfall. Journal of the American Statistical Association. 116: 2041-2052.

Hu, X. J., Li, C. X., Chen, J. Y., Qin, G.S. (2021), Confidence intervals for the Youden index in the presence of covariates. Journal of Biopharmaceutical Statistics. 31: 251–272.

Wei, G.H., Qin, G.S. (2021), Empirical likelihood-based inferences for median medical cost regression models with censored data. Journal of Biopharmaceutical Statistics. 31: 216-232.

Hai, Y., Qin, G.S. (2020). Direct Estimation of the Area Under the Receiver Operating Characteristic Curve with Verification Biased Data. Statistics in Medicine. 39: 4789-4820.

Hai, Y., Min, X., Qin, G.S. (2020). Bayesian and influence function based empirical likelihoods for inference of sensitivity in diagnostic tests. Statistical Methods in Medical Research. 29:3457-3491.

Shi, Y., Liu, B., Qin, G.S. (2020), Influence function-based empirical likelihood and generalized confidence intervals for Lorenz curve. Statistical Methods and Applications 29:427-446.

Ghimire, H., Garlapati, C., Janssen, E. A. M, Krishnamurti, Uma, Qin, G.S., Aneja, R., Perera, A. G. U. (2020). Protein conformational changes in breast cancer sera using infrared spectroscopic analysis. Cancers 12(7): 1708. https://doi.org/10.3390/cancers12071708

Ghimire, H., Hu, X. J., Qin, G.S., Perera, A. G. U. (2020). Optimizing infrared spectral discrimination to enhance disease diagnostics: Monitoring the signature of anti-TNFα therapy in inflammatory bowel diseases. Biomedical Optics Express 11(8): 4679-4694

Jeyarajah, J., Wei, G.H., Qin, G.S. (2020). Influence function based empirical likelihood for inference of quantile medical costs with censored data. Statistical Methods in Medical Research. 29: 1913-1934.

Hu, X. J., Jung, A. and Qin, G.S. (2020). Interval estimation for the correlation coefficient. American Statistician. 74: 29-36.

Education

Teaching

Georgia State University